Wave-Based Control of a Nonlinear Flexible System

Author(s):  
William J. O’Connor ◽  
Francisco Ramos ◽  
Vicente Feliu

The motivation for this work is the control of flexible mechanical systems, such as long, light robot arms, gantry cranes, and large space structures, with an actuator at one end and a free boundary at the other. Very effective control strategies have recently been developed which are based on interpreting the actuator motion as launching mechanical “waves” (propagating motion) into the flexible system while absorbing returning “waves”. These control systems are robust to system changes and to actuator limitations. They are generic, require very little system modeling, need only local sensing, and are computationally light and easy to implement. In a flexible arm, when elastic deflections are large, frequently there is strongly nonlinear behavior. This paper investigates how such nonlinearities affect the wave-based control strategy. In summary, the news is good. It is found that errors arise only when trajectories are very demanding, and even then the errors are small. Some strategies for correcting these errors are explained: addition of a linear element at the actuator-system interface, error correction by second manoeuver, and redefinition of the waves in a less-than-optimal way. The paper presents these ideas and illustrates them with numerical simulations.

Author(s):  
Jiaxin Wu ◽  
Pingfeng Wang

Managing potential disruptive events at the operating phase of an engineered system therefore improving the system’s failure resilience is an importance yet challenging task in engineering design. The resilience of an engineered system can be improved by enhancing the failure restoration capability of the system with appropriate system control strategies. Therefore, control-guided failure restoration is an essential step in engineering design for resilience. Considering different characteristics of disruptive events and their impacts to the performance of a system, effective control strategies for the failure restoration must be selected correspondingly. However, the challenge is to develop generally applicable guiding principles for selecting effective control strategies thus implementing the control-guided failure restorations. In this paper, a comparison of three commonly used control strategies for dynamic system control is conducted with the focus on the effectiveness of restoring system performance after the system has undergone different major disruptive events. A case study of an electricity transmission system is used to demonstrate the dynamic system modeling and the comparison of three control strategies for disruption management.


1993 ◽  
Vol 46 (11S) ◽  
pp. S173-S184
Author(s):  
J. W. Benner ◽  
S. C. Sinha ◽  
G. J. Wiens

In this paper, some experimental results of modal tests performed on a large three-link flexible system are reported. These modal tests were conducted at the NASA’s LSS GTF (Large Space Structures Ground Test Facility) located at MSFC (Marshall Space Flight Center). The experimental results were obtained for various configurations and compared with those obtained using the Component Mode Synthesis technique. The mode functions were selected to keep the computation as simple as possible without compromising the accuracy. The results obtained from the dynamic software simulation package called TREETOPS have also been included for completeness. It is found that the experimental results are in excellent agreement with those obtained by the use of component mode techniques for the aforementioned structures. The average percent change in the frequencies is observed to be 6.09%, while the average mode shape correspondence is noted as 94.5%.


Author(s):  
Jiaxin Wu ◽  
Pingfeng Wang

Managing potential disruptive events at the operating phase of an engineered system therefore improving the system's failure resilience is an importance yet challenging task in engineering design. The resilience of an engineered system can be improved by enhancing the failure restoration capability of the system with appropriate system control strategies. Therefore, control-guided failure restoration is an essential step in engineering design for resilience. Considering different characteristics of disruptive events and their impacts to the performance of a system, effective control strategies for the failure restoration must be selected correspondingly. However, the challenge is to develop generally applicable guiding principles for selecting effective control strategies, thus implementing the control-guided failure restorations. In this paper, a comparison of three commonly used control strategies for dynamic system control is conducted with the focus on the effectiveness of restoring system performance after the system has undergone different major disruptive events. A case study of an electricity transmission system is used to demonstrate the dynamic system modeling and the comparison of three control strategies for disruption management.


1988 ◽  
Author(s):  
SCOT MORRISON ◽  
YINYU YE ◽  
CHARLES GREGORY, JR. ◽  
ROBERT KOSUT ◽  
MARC REGELBRUGGE

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